scholarly journals Exploration of the relationship between child's sleep disturbances on parent's sleep quality and pre-sleep arousal

2017 ◽  
Vol 26 ◽  
pp. 48-48
2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.


2020 ◽  
Vol 12 (4) ◽  
pp. 69
Author(s):  
EunJu Song

Many patients with alcohol use disorder experienced insomnia or sleep disturbances. However, their sleep problems rarely addressed in the treatment process. It may prove beneficial if treatment programs should intend to help prevent the recurrence of alcohol use disorder by solving patients&rsquo; sleep-induced problems and accordingly include appropriate sleep interventions. The present study employed a descriptive design and conducted a cross-sectional survey to assess the relationship among sleep quality, score on the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES), abstinence self-efficacy, and quality of life in inpatients with alcohol use disorders. Data were collected from June to August 2018, from 117 patients admitted to the psychiatric ward for alcohol-use patients in two mental hospitals in South Korea. Sleep quality was significantly correlated with the SOCRATES score (r = .247, p = .007) and quality of life (r = -.346, p = .001). However, it showed no relationship with abstinence self-efficacy (r = -.066, p = .477). These findings suggest that abstinence programs need to employ a comprehensive approach instead of primarily focusing on maintaining abstinence and cessation of alcohol use. However, both sleep disturbances and alcohol abstinence require patience and prolonged treatment. Thus, it is a challenge to design concrete interventions to address the sleep problems experienced by patients with alcohol use disorder.


2020 ◽  
Vol 21 (2) ◽  
pp. 89-107
Author(s):  
Reona Chiba ◽  
Yuki Ohashi ◽  
Akiko Ozaki

Purpose Several epidemiological studies have reported an age-related increase in the prevalence of sleep disturbances. This study aims to investigate the relationship between sleep and sarcopenia/frailty in older adults and clarify issues that remain to be addressed in future studies. Design/methodology/approach PubMed was searched for relevant studies with the following keywords in the title: “sleep” and “sarcopenia” or “sleep” and “frailty.” A total of 15 studies published in English between 1998 and 2018 were reviewed. Findings Among the four studies that examined the relationship between sarcopenia and sleep, two reported that long or short sleep duration increased the risk of sarcopenia and this association was more pronounced in women than men. Among the seven studies examining the relationship between frailty and sleep, four reported that higher Pittsburgh Sleep Quality Index (PSQI) scores were associated with an increased risk of frailty. Practical implications Most previous studies have focused on interventions targeting a single area such as muscle strength or exercise habits, in older adults at risk for frailty. The results suggest that interventions targeting improved sleep may positively impact the maintenance of muscle strength. Originality/value The literature review revealed that too much or too little sleep increases the risk of sarcopenia in older adults. Further, sleep deprivation, greater night-time wakefulness and reduced sleep quality increase the risk of frailty. Interestingly, the risk of mortality is increased in individuals with daytime functional disorders such as excessive drowsiness or napping habits.


2020 ◽  
Vol 35 (6) ◽  
pp. 923-923
Author(s):  
Walker N ◽  
Scott T ◽  
Spellman J ◽  
Rivera J ◽  
Waltzman D ◽  
...  

Abstract Objective Reviewed literature suggests that individuals with Posttraumatic Stress Disorder (PTSD) demonstrate cognitive deficits in attention, learning/memory, and executive functions. Less is known regarding the relationship between sleep disturbance and language abilities among individuals with PTSD. We hypothesized that subjective perceptions of PTSD-related sleep disturbance would impact language generativity in Veterans with PTSD. Methods 38 individuals (mean age = 46.58, SD = 13.55; 10% female) were administered a brief neurocognitive battery including measures of verbal generativity [i.e., Delis-Kaplan Executive Function System: Verbal fluency subtest], PTSD symptoms (i.e., clinically significant PTSD = &gt; 35 on the PTSD Checklist for DSM-IV), self-report measures of sleep quality (Pittsburgh Sleep Quality Inventory; PSQI), and PTSD-related sleep disturbances (PSQI – Addendum for PTSD). All participants had a history of mild traumatic brain injury (mTBI). An analysis of covariance was used to assess the contribution of PTSD-related sleep disturbance on verbal fluency in Veterans with PTSD. Post-hoc analyses were conducted. Results Those without PTSD performed better on letter fluency than those with PTSD (p=.019). There was no significant effect of PTSD (presence or absence) on letter fluency performance after controlling for subjective sleep quality, F(1, 35) = 1.43, p = .239. Follow up analyses failed to show any associations between PTSD and other cognitive measures. Conclusions PTSD related sleep disturbance accounts for a significant portion of the variance in the relationship between PTSD and verbal generativity. Individuals with a history of mTBI and current PTSD symptoms, may have worse verbal generativity but is partially accounted for by PTSD related sleep disturbance.


2018 ◽  
Vol 15 (3) ◽  
pp. 210-219 ◽  
Author(s):  
Onala Telford ◽  
Clarissa J Diamantidis ◽  
Hayden B Bosworth ◽  
Uptal D Patel ◽  
Clemontina A Davenport ◽  
...  

Objectives Data suggest that poor sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI) contributes to suboptimal diabetes control. How the subscales comprising the PSQI individually relate to diabetes control is poorly understood. Methods In order to explore how PSQI subscales relate to diabetes control, we analyzed baseline data from a trial of a telemedicine intervention for diabetes. We used multivariable modeling to examine: (1) the relationship between the global PSQI and hemoglobin A1c (HbA1c); (2) the relationships between the 7 PSQI subscales and HbA1c; and (3) medication nonadherence as a possible mediating factor. Results Global PSQI was not associated with HbA1c ( n = 279). Only one PSQI subscale, sleep disturbances, was associated with HbA1c after covariate adjustment; HbA1c increased by 0.4 points for each additional sleep disturbances subscale point (95%CI 0.1 to 0.8). Although the sleep disturbances subscale was associated with medication nonadherence (OR 2.04, 95%CI 1.27 to 3.30), a mediation analysis indicated nonadherence does not mediate the sleep disturbances-HbA1c relationship. Discussion The sleep disturbances subscale may drive the previously observed relationship between PSQI and HbA1c. The mechanism for the relationship between sleep disturbances and HbA1c remains unclear, as does the impact on HbA1c of addressing sleep disturbances.


2019 ◽  
Vol 8 (7) ◽  
pp. 1072 ◽  
Author(s):  
Miguel A. Simón ◽  
Ana M. Bueno ◽  
Patricia Otero ◽  
Vanessa Blanco ◽  
Fernando L. Vázquez

This study examined the relationship between caregiver burden and sleep quality in dependent people’s family caregivers. A cross-sectional study was carried out with 201 dependent people’s family caregivers and 92 non-caregivers controls. Participants completed the Pittsburgh Sleep Quality Index (PSQI), the Caregiver Burden Inventory (CBI), and an ad-hoc questionnaire to collect sociodemographic data. Based on CBI scores, subjects were categorized into three groups: family caregivers with high levels of perceived burden, family caregivers with low and medium levels of perceived burden and non-caregiver controls. There were significant differences among the groups in the PSQI total (F = 40.39; p < 0.001), subjective sleep quality (F = 25.55; p < 0.001), sleep latency (F = 16.99; p < 0.001), sleep disturbances (F = 14.90; p < 0.001), use of sleep medications (F = 6.94; p < 0.01) and daytime dysfunction (F = 20.12; p < 0.001). These differences were found only between the caregivers with high levels of perceived burden and the other two groups (p < 0.05). There were also significant differences between the groups in sleep duration (F = 18.34; p < 0.001) and habitual sleep efficiency (F = 24.24; p < 0.001). In these dependent measures, the differences were found in all the pairs examined (p < 0.05). These results suggest that caregiver burden is related to sleep quality, so that caregivers with greater perceived burden have a worse sleep quality.


2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Cinto Segalàs ◽  
Javier Labad ◽  
Neus Salvat-Pujol ◽  
Eva Real ◽  
Pino Alonso ◽  
...  

Abstract Background Sleep disturbances have been reported in obsessive-compulsive disorder (OCD) patients, with heterogeneous results. The aim of our study was to assess sleep function in OCD and to investigate the relationship between sleep and the severity of obsessive-compulsive (OC) symptoms, depressive symptoms and trait anxiety. Methods Sleep quality was measured in 61 OCD patients and 100 healthy controls (HCs) using the Pittsburgh Sleep Quality Index (PSQI). Multiple linear regression was conducted to explore the association between sleep and psychopathological measures; a mediation analysis was also performed. Results OCD patients showed poor sleep quality and more sleep disturbances compared to HCs. The severity of depression, trait anxiety and OC symptomatology were correlated with poor sleep quality. Multiple linear regression analyses controlling for potential confounders revealed that the severity of depression and trait anxiety were independently related to poor sleep quality in OCD. A mediation analysis showed that both the severity of trait anxiety and depression mediate the relationship between the severity of OC symptoms and poor sleep quality among patients with OCD. Conclusions Our findings support the existence of sleep disturbances in OCD. Trait anxiety and depression play a key role in sleep quality among OCD patients.


2018 ◽  
Vol 8 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Sarah M. AlSharif ◽  
Marwah S. Al-Qathmi ◽  
Wejdan M. Baabdullah ◽  
Talah A. Alhrkan ◽  
Yara A. Fayoumi ◽  
...  

Objectives: Poor sleep quality is considered a global health problem. Considering that caffeine intake contributes to sleep disturbances, we evaluated the relationship between sleep quality and the consumption of caffeinated beverages in college students in Jeddah, Kingdom of Saudi Arabia. Methods: This was a cross-sectional study conducted with college students aged 18 to 25 years old from both governmental and private colleges in Jeddah, Saudi Arabia. Sleep quality, caffeine intake, and stress exposure were assessed using three validated electronic questionnaires. Results: A total of 476 college students completed the questionnaire. Sleep quality was found to be poor in 80.7% of students. The prevalence of caffeine intake was as follows: none = 8%, a tolerable amount = 40.5%, and excessive = 51.5%. Of the students who reported excessive caffeine intake, 83.3% had poor sleep quality. The relationship between excessive caffeine intake and poor sleep quality was significant (p = 0.003). Conclusions: The majority of students had poor sleep quality, and this was correlated with excessive caffeine intake. Our results highlight the importance of raising awareness among students about the factors that may affect sleep quality.


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